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Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review

The healthcare burden of cardiovascular diseases remains a major issue worldwide. Understanding the underlying mechanisms and improving identification of people with a higher risk profile of systemic vascular disease through noninvasive examinations is crucial. In ophthalmology, retinal vascular net...

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Autores principales: Arnould, Louis, Meriaudeau, Fabrice, Guenancia, Charles, Germanese, Clément, Delcourt, Cécile, Kawasaki, Ryo, Cheung, Carol Y., Creuzot-Garcher, Catherine, Grzybowski, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011267/
https://www.ncbi.nlm.nih.gov/pubmed/36562928
http://dx.doi.org/10.1007/s40123-022-00641-5
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author Arnould, Louis
Meriaudeau, Fabrice
Guenancia, Charles
Germanese, Clément
Delcourt, Cécile
Kawasaki, Ryo
Cheung, Carol Y.
Creuzot-Garcher, Catherine
Grzybowski, Andrzej
author_facet Arnould, Louis
Meriaudeau, Fabrice
Guenancia, Charles
Germanese, Clément
Delcourt, Cécile
Kawasaki, Ryo
Cheung, Carol Y.
Creuzot-Garcher, Catherine
Grzybowski, Andrzej
author_sort Arnould, Louis
collection PubMed
description The healthcare burden of cardiovascular diseases remains a major issue worldwide. Understanding the underlying mechanisms and improving identification of people with a higher risk profile of systemic vascular disease through noninvasive examinations is crucial. In ophthalmology, retinal vascular network imaging is simple and noninvasive and can provide in vivo information of the microstructure and vascular health. For more than 10 years, different research teams have been working on developing software to enable automatic analysis of the retinal vascular network from different imaging techniques (retinal fundus photographs, OCT angiography, adaptive optics, etc.) and to provide a description of the geometric characteristics of its arterial and venous components. Thus, the structure of retinal vessels could be considered a witness of the systemic vascular status. A new approach called “oculomics” using retinal image datasets and artificial intelligence algorithms recently increased the interest in retinal microvascular biomarkers. Despite the large volume of associated research, the role of retinal biomarkers in the screening, monitoring, or prediction of systemic vascular disease remains uncertain. A PubMed search was conducted until August 2022 and yielded relevant peer-reviewed articles based on a set of inclusion criteria. This literature review is intended to summarize the state of the art in oculomics and cardiovascular disease research.
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spelling pubmed-100112672023-03-15 Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review Arnould, Louis Meriaudeau, Fabrice Guenancia, Charles Germanese, Clément Delcourt, Cécile Kawasaki, Ryo Cheung, Carol Y. Creuzot-Garcher, Catherine Grzybowski, Andrzej Ophthalmol Ther Review The healthcare burden of cardiovascular diseases remains a major issue worldwide. Understanding the underlying mechanisms and improving identification of people with a higher risk profile of systemic vascular disease through noninvasive examinations is crucial. In ophthalmology, retinal vascular network imaging is simple and noninvasive and can provide in vivo information of the microstructure and vascular health. For more than 10 years, different research teams have been working on developing software to enable automatic analysis of the retinal vascular network from different imaging techniques (retinal fundus photographs, OCT angiography, adaptive optics, etc.) and to provide a description of the geometric characteristics of its arterial and venous components. Thus, the structure of retinal vessels could be considered a witness of the systemic vascular status. A new approach called “oculomics” using retinal image datasets and artificial intelligence algorithms recently increased the interest in retinal microvascular biomarkers. Despite the large volume of associated research, the role of retinal biomarkers in the screening, monitoring, or prediction of systemic vascular disease remains uncertain. A PubMed search was conducted until August 2022 and yielded relevant peer-reviewed articles based on a set of inclusion criteria. This literature review is intended to summarize the state of the art in oculomics and cardiovascular disease research. Springer Healthcare 2022-12-23 2023-04 /pmc/articles/PMC10011267/ /pubmed/36562928 http://dx.doi.org/10.1007/s40123-022-00641-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Review
Arnould, Louis
Meriaudeau, Fabrice
Guenancia, Charles
Germanese, Clément
Delcourt, Cécile
Kawasaki, Ryo
Cheung, Carol Y.
Creuzot-Garcher, Catherine
Grzybowski, Andrzej
Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review
title Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review
title_full Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review
title_fullStr Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review
title_full_unstemmed Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review
title_short Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review
title_sort using artificial intelligence to analyse the retinal vascular network: the future of cardiovascular risk assessment based on oculomics? a narrative review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011267/
https://www.ncbi.nlm.nih.gov/pubmed/36562928
http://dx.doi.org/10.1007/s40123-022-00641-5
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